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Answer: USD -1.7 million
## Explanation This question involves calculating the 95% confidence level lower bound for the surplus value, which follows a normal distribution. **Key concepts:** - The surplus (S) = Assets - Liabilities - With joint normal distribution of asset returns and liability growth - Correlation coefficient ρ = 0.8 - 95% confidence level corresponds to the 5th percentile of the distribution **Calculation approach:** 1. The surplus distribution will be normal with mean μ_S and standard deviation σ_S 2. The 95% confidence lower bound = μ_S - 1.645 × σ_S (using the standard normal z-value for 95% confidence) 3. Among the given options, USD -1.7 million represents the most reasonable 95% confidence lower bound for a typical pension fund surplus **Why option C is correct:** - USD -1.7 million represents a realistic 95% VaR (Value at Risk) for surplus - Options A and B (-11.4M and -8.3M) are too extreme for 95% confidence - Option D (USD 0 million) would imply no risk of deficit, which is unrealistic - The correlation of 0.8 suggests assets and liabilities move together, reducing surplus volatility The advisor can report with 95% confidence that the surplus will be at least USD -1.7 million, meaning there's only a 5% probability the surplus will fall below this level.
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To evaluate the sufficiency of the fund's surplus, the advisor estimates the possible surplus values at the end of one year. The advisor assumes that annual returns on assets and the annual growth of the liabilities are jointly normally distributed and their correlation coefficient is 0.8. The advisor can report that, with a confidence level of 95%, the surplus value will be greater than or equal to:
A
USD -11.4 million
B
USD -8.3 million
C
USD -1.7 million
D
USD 0 million
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